Urban Road Traffic State Detection Based On Phone Location Data

With the acceleration of China's urbanization process, and serious increase in traffic jam, scientific and effective detection of urban traffic state is the main supporting theory of intelligent traffic planning and decision-making, and there are no thorough and efficient solutions to this problem. Existing urban traffic information detection faces the problems of insufficiency in data, multiplicity in road matching, difficulty in transportation mode identification and so forth. How to solve those problems and achieve traffic information is the critical research in the field of intelligent traffic system. Mobile phone positioning the data covers all of the urban area both in time and space, providing mass data to the process of traffic condition analysis. So, traffic information detection from mobile phone positioning data is one of the important parts of intelligent transportation system.Using several mobile phone's history location data as study objects, this paper mines the mobile phone location data, removes noise data by analyzing the character of mobile phone location data and the complexity of urban road network. Furthermore, this paper proposes an improved high K-th optimal path algorithm considering the multiplicity of candidate road paths. Through this method, the average travel speed can be calculated, and the result is tested by comparing with the travel speed which calculated from the GPS floating cars of the same road link at the same time. Based on some theories of fuzzy logic, this paper proposed an fuzzy logic-based traffic detection model after analyzing and arranging the traffic evaluation factors regarding the average travel speed as one of the fuzzy evaluation factors. Case study shows that traffic state of a specific road can be detected using the method.This study provides data basis and theoretical support to the urban traffic condition detection, and new ideas of massive traffic information collection and intelligent transportation system construction in big city. At the same time, it provides effective methodologies for transportation planning, emergency relief and other areas.